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arXiv 2403.16367quant-ph
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通过分布式量子记忆增强的量子通信网络

Quantum Communication Networks Enhanced by Distributed Quantum Memories

Xiangyi Meng, Nicolò Lo Piparo, Kae Nemoto, István A. Kovács

备注：
22 pages, 6 figures
发表信息：
Quantum 9, 1948 (2025)
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AI总结：

本文提出通过分布式量子记忆的协同使用，改进量子通信网络的渗透模型，实现正反馈机制和空间不连通通信组件的形成。

摘要：

构建大规模量子通信网络具有其独特的挑战。在这里，我们证明了在量子通信网络中广泛协同使用分布式的量子记忆提供了一个根本性的优势。我们首先将使用局部记忆的量子通信问题映射到一个经典连续渗透模型。然后，我们展示通过通过远程访问分布式记忆的合作量子提纯和中继协议，可以改进这种映射。这种改进的映射，我们称之为α-渗透，可以以图合并规则的形式进行表述，类似于 disorder quantum magnets 的 renormalization group 处理中的消去规则。这些规则可以以任何顺序执行，产生相同的最佳结果，其特征是正反馈机制的出现和空间上不连通的“跳跃”通信组件的形成——这两种都标志着在联网结构中传统点对点考虑之外的显著改进。

英文摘要：

Building large-scale quantum communication networks has its unique challenges. Here, we demonstrate that a network-wide synergistic usage of quantum memories distributed in a quantum communication network offers a fundamental advantage. We first map the problem of quantum communication with local usage of memories into a classical continuum percolation model. Then, we show that this mapping can be improved through a cooperation of quantum distillation and relay protocols via remote access to distributed memories. This improved mapping, which we term $α$-percolation, can be formulated in terms of graph-merging rules, analogous to the decimation rules of the renormalization group treatment of disordered quantum magnets. These rules can be performed in any order, yielding the same optimal result that is characterized by the emergence of a ``positive feedback'' mechanism and the formation of spatially disconnected ``hopping'' communication components -- both marking significant improvements beyond the traditional point-to-point consideration of quantum communication in networked structures.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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